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At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.
As a Product Specialist - Azure Lakehouse (Sr. Specialist Solutions Architect) you will be a deep technical expert in Data Warehousing and in how customers can be successful with these use-cases in the Lakehouse paradigm. You will work closely with both Product Management and the EMEA Field Engineering and Sales teams to act as the technical bridge between these critical organisations to help make the Data Intelligence Platform vision a reality for our customers. You will provide thought leadership on best practices around how to build a Lakehouse in Azure in particular and how Databricks integrates with the wider Azure ecosystem. You will work closely with the Databricks Product Management team to drive adoption of Azure Lakehouse features and ensure a consistent product vision for the EMEA technical field. You will work closely with Sales and FE leaders to help drive adoption of Azure Lakehouse by identifying target accounts and messaging. You will support our field teams in competing with existing data warehouses. You will support enablement activities for the EMEA technical field and sales team and drive customer success through direct engagement and scale your expertise across EMEA.
You will report directly to the Sr. Director Product Specialists Databricks Field Engineering and will be located in London. Databricks Field Engineering works with our current and future customers to grow adoption, win technical validations and advise customers on Azure Lakehouse best practices. The Product Specialist - Azure Lakehouse owns the enablement and escalations within the EMEA Field Engineering team around relevant features.
The impact you will have:
- Deliver thought leadership in Azure Lakehouse best practices for the Databricks Data Intelligence Platform in the form of blogs, webinars, how to guides and technical know-how to the EMEA technical community and beyond.
- Working with sales and FE leaders drive adoption of Azure Lakehouse across EMEA
- Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities in how customers can and should bring Databricks into their Data strategies.
- Provide guidance and oversight for large-scale enterprise Azure Lakehouse competitive scenarios, serving as a trusted technical advisor to senior tech leads and executives
- Act as the level three point of escalation on the toughest technical challenges in the field that customers face to drive customer success.
- Provide key messaging and approaches to ensure the EMEA technical field is prepared for competitive conversations
What we look for:
- Experience in designing and delivering cloud-based Data Warehousing Solutions in a client or customer environment
- Ability to advise customers in Data Warehousing architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
- Cross-Cloud Expertise: Help customers build a multi-cloud analytics ecosystem with Databricks at the centre and provide solutions for customers looking for disaster recovery, fault tolerance and backup
- Certification and/or demonstrated competence in the Azure ecosystem
- Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL
- Excellent communication skills; both written and verbal
- Experience in pre-sales selling highly desired
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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